Deep Learning 4J models

For knime://EXAMPLES/04_Analytics/14_Deep_Learning/11_Housing_Value_Prediction_Using_Regression

I can understand and can replicate the example but where can I see is the final bag regression model output used for the predictions?

For example what is the final model than can be used for new data for new medv predictions?

What is the best way to use this model for new data predictions?

Thank you



Hi tw349,

in this example we do not train a final model. We only run the cross-validation. If you want to use the final model, you would just retrain on the full test set (removing the cross-validation loop). Predictions work exactly like the prediction inside the cross-validation loop.